Senior Engineer, AI/ML Software (Robotics)

Senior Engineer, AI/ML Software (Robotics)

ADI - Analog Devices

Limerick, Ireland

We're looking for a Senior AI/ML Engineer with deep expertise in robot policies, task planning, computer vision and decision-making under uncertainty. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.

You’ll be a core contributor to the development of robust and efficient AI-based robot policies, working alongside experts in hardware, embedded systems, and AI software. This is a hands-on role that blends applied research with production-grade engineering.

Responsibilities

• Develop and integrate task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
• Design and implement short and long-horizon planning systems for real-world robotic applications.
• Prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the Edge.
• Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
• Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
• Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
• Stay current with trends in AI for robotics (e.g., expert and generalist policies, foundation models), and help integrate relevant advancements into our workflows.

Qualifications

• 5+ years of experience in AI, robotics, or computer vision.
• Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
• Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.
• Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
• Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
• Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git).
• Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.

Bonus Experience

• Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2).
• Familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments.
• Contributions to open-source robotics or AI frameworks.